Browse Topic: Charging stations

Items (194)
The advancement of electric mobility has driven the development of technologies aimed at enabling smart, secure, and interoperable electric vehicle (EV) charging. In this context, this paper presents a technical and market analysis of the Vehicle-to-Grid (V2G) and Plug & Charge (PnC) functionalities, focusing on their architectures, applicable technical standards, communication protocols, levels of commercial maturity, and emerging applications. The discussion begins with a review of the main national and international standards relevant to charging infrastructure, with emphasis on IEC 61851, IEC 62196, and ISO 15118 series, which address the technical requirements of equipment, connectors, and vehicle-to-grid communication. The operation of V2G is then discussed as a technology that enables bidirectional energy flow between the EV and the power grid, with a focus on topological configurations, pilot project applications, and regulatory and economic challenges that currently limit its
Marques, Felipe L. R.Arioli, Vitor T.Bernardo, RodrigoNakandakare, Cleber A.Pizzini, Luiz R.Nicola, Eduardo V.
The rapidly growing demand for self-driving travels by electric vehicles (EVs) during holidays has intensified the pressure on the highway network, in which EVs with restricted driving range require frequent recharges for their large-scale travel. Consequently, strategical electric vehicle charging stations (EVCS) layout is vital for EV adoption, ensuring travelers can complete their trips. To minimize the indirect environmental impact and delay caused by charging process, this paper proposes a bi-layer optimization model, in which the upper-layer model selects the new station locations under a limited number of constructions and lower layer models the equilibrium traveling flow arising from EVs choosing feasible paths under stochastic demand and charging requirement. An enhanced label-correcting technique combined with the Method of Successive Averages solves this model. Evaluated on a benchmark network, the results show that longer driving range and sufficient EVCS can both shorten
Liu, GuangzengQu, YunchaoLv, YingLiang, XiaoWu, Kan
The introduction of renewable energy systems offers the opportunity to achieve energy self-sufficiency or autarky in addition to contributing towards carbon neutrality by reducing the dependency on energy logistics. Amidst growing geo-political conflicts and natural calamities, the scenario of energy shortage or disruption of energy logistics is a major threat, especially for Europe due to the significant reliance on import of primary energy. Achieving autarky, however, requires a distinction between energy consumers that need uninterrupted energy supply and consumers that could potentially be cut-off during energy shortages to avoid prohibitive costs resulting from oversizing the system. Critical infrastructure such as hospitals, communication systems, emergency services and key mobility nodes like fuelling stations and charging points needed to sustain the services provided by them, always need continuous energy supply. The architecture in current tools for optimising the design and
Vijay, ArjunThaler, BernhardKöcheler, ValentinOppl, ThomasTrapp, Christian
Environmental concerns are prompting the global mobility sector to transition towards electrification. Increased research and development in the field of electric vehicles have made them an increasingly efficient and compelling option for reducing greenhouse gas emissions and improving the sustainability of freight transport. Electric vehicles require batteries that offer long range, shorter charging times and high energy efficiency. During long-distance travel, for customer convenience, mobile charging stations have become a trending and highly meaningful solution. For such mobile charging stations, it is essential to ensure the durability and safety parameters of the battery and its structure. For this to happen, it is mandatory that the system possess the strength and stiffness behavior to withstand the various dynamic loads arising from the environment and acting on the vehicle and system. Moreover, the system should maintain a weight that is as low as possible so that it is both
Sonare, PushpeshGaneshan, SubramanianDattawade, Vishal
Charging management has a profound impact on the reliability and safety of electric bus (EB) services. However, the actual charging operation of EB fleets is a critical challenge due to uncertain energy consumption, limited charging resources and other factors. At present there are no operational and maintenance guidelines present for operation of EB charging stations since the running and operation of these facilities are at the initial stages of development. There is a need to develop these strategies that provides smooth operation of these newly developed facilities. In the present work maintenance strategies of electrical systems of Electric bus charging station were designed. The complete maintenance is divided into quarterly and annual maintenance based on the requirements and nature of work for smooth operation. Quarterly Maintenance is devised on detecting early signs of wear through visual inspections of key components, including transformers and ventilation systems while
Soam, KumareshVashist, Devendra
Charging time remains a major challenge in the development and adoption of electric vehicles (EVs). The difficulty of locating a charging station, combined with the significant duration required for a full charge, has become an increasingly critical factor influencing consumer decisions. Fast-charging is being progressively implemented not only in newly developed EVs but also retrofitted into existing ones. However, one of the main limitations of fast-charging is the overheating of various components within the vehicle, the charging station, and the charging infrastructure. A key element in this system is the Battery Disconnect Unit (BDU), which is responsible for monitoring, activating, and deactivating the high-voltage battery system. It is crucial to maintain the BDU within safe operating temperatures to prevent overheating and ensure reliable operation. Currently, these components are typically designed for standard charging power. However, as charging power increases and charging
Salameh, GeorgesGoumy, GuillaumeChalet, DavidDubouil, RémiFrecinaux, AnthonyPalluel, MarlèneRatajczack, ChristelleNoiseau, Pascal
From a quick access port to help firefighters fight EV battery fires faster to preventing public charger vandalism, here are some safety developments that haven't made the big headlines. Most of the news surrounding EV technological development in the past year has been around batteries and charging capacity. But engineers have also been busy working on security and safety issues, from charging stations to finding ways for firefighters to better douse fires. We've rounded up a few of the most notable and novel efforts below.
Clonts, Chris
The market penetration of Battery Electric Vehicles (BEV) in Europe is not following the foreseen scenario. This is related to several factors, such as uncertainty of the second-hand value of BEV, real driving range under cold conditions and availability of charging stations. Even if the European Community is still planning a full ban of Internal Combustion Engines (ICE) by 2035, in the rest of the world a more technology neutral approach is being pursued. Car manufacturers are developing different powertrain architectures, from mild- to full-hybrid and Range Extenders (REEX). In this context of different emission regulations, and wide range of powertrain architectures, the focus of the development will be the increase of catalyst efficiency without any big impact on exhaust aftertreatment cost. In previous work [1] the authors have used a 1D simulation approach to support the optimization of metallic TWC substrate for the High Power Cold Start use case. Additionally, a 3D CFD was used
Montenegro, GianlucaDella Torre, AugustoMarinoni, AndreaOnorati, AngeloKlövmark, HenrikLaurell, MatsPace, LorenzoKonieczny, Katrin
As part of the Bio-FiRE-for-EVer research project aiming to propose a solution for off-grid charging stations based on the adoption of a reciprocating engine, this study investigated the combustion development and pollutant emissions of an 8.7 l six-cylinder heavy-duty PFI internal combustion engine fueled by ethanol. The reference experimental case features critical issues in the formation of the air-fuel, mainly due to the slow evaporation rate of the alcohol fuel inside the intake manifold via a single point injection, providing a non-uniform and averagely rich (λ=0.89) reactant mixture inside the cylinders. For this purpose, an in-depth analysis of the in-cylinder phenomena is performed by using a CFD solver for the reacting flow. A geometry of the cylinder system complete with intake and exhaust ducts is created for calculations with the three-dimensional Ansys FORTE code. The inclusion of the inlet duct in the computational domain allows the experiencing of several setups of the
De Robbio, RobertaCameretti, Maria CristinaPalomba, MarcoTuccillo, Raffaele
An optimization framework for trip and charging planning for electric heavy-duty vehicles is proposed in this paper. Building upon and extending previous work on light-duty vehicles, our approach models energy-aware routing by constructing a state-augmented graph that jointly captures geographic position and battery state-of-charge. We refine the route model to include detailed vehicle dynamics and speed constraints specific to heavy-duty vehicles, and introduce an alternative graph construction method that avoids the computational complexity of lexicographic products by generating only feasible nodes. The resulting framework enables efficient trip planning that accounts for driving behavior, road characteristics, and charging infrastructure. Simulation results demonstrate the effectiveness of the approach in reducing energy consumption and ensuring operational feasibility for long-haul freight transport.
Zonetti, DanieleSciarretta, AntonioDe Nunzio, Giovanni
This paper examines the impact of the distribution of charging and hydrogen refueling stations on their reachability for craft vehicles with a defined usage profile. A simulation-based methodology is presented for this purpose. The simulation models daily trips for craft vehicles, considering amongst others the company location, the client stops, the operating radius and the mean daily driving distance. Based on these inputs, the number of charging or refueling opportunities for typical daily trips of the craft vehicle is calculated. To investigate the impact of locations on the frequency of encountering energy provisions, simulations are conducted in three regions: Ulm (urban), Stuttgart (metropolitan), and Munderkingen (rural). Furthermore, the impact of different locations within the same infrastructural area is examined by assessing multiple company locations in Ulm. The findings indicate that the urban zone of Ulm is characterized by a highly dense electric fast charging
Heilmann, OliverMüller, JulianHeinrich, MarcoCortès, SvenSchlick, MichaelKulzer, André Casal
Letter from the Guest Editors
Zhu, Shun-PengZhan, ZhenfeiHuang, Shiyao
As the adoption of Electric Vehicles (EV) and Plug-in Hybrid Electric Vehicles (PHEV) continues to rise, more individuals are encountering these quieter vehicles in their daily lives. While topics such as propulsion sound via Active Sound Design (ASD) and bystander safety through Acoustic Vehicle Alerting Systems (AVAS) have been extensively discussed, charging noise remains relatively unexplored. Most EV/PHEV owners charge their vehicles at home, typically overnight, leading to a lack of awareness about charging noise. However, those who have charged their cars overnight often report a variety of sounds emanating from the vehicle and the electric vehicle supply equipment (EVSE). This paper presents data from several production EVs measured during their normal charging cycles. Binaural recordings made inside and outside the vehicles are analyzed using psychoacoustic metrics to identify sounds that may concern EV/PHEV owners or their neighbors.
Marroquin, MarcBray, Wade
The added connectivity and transmission of personal and payment information in electric vehicle (EV) charging technology creates larger attack surfaces and incentives for malicious hackers to act. As EV charging stations are a major and direct user interface in the charging infrastructure, ensuring cybersecurity of the personal and private data transmitted to and from chargers is a key component to the overall security. Researchers at Southwest Research Institute® (SwRI®) evaluated the security of direct current fast charging (DCFC) EV supply equipment (EVSE). Identified vulnerabilities included values such as the MAC addresses of both the EV and EVSE, either sent in plaintext or encrypted with a known algorithm. These values allowed for reprogramming of non-volatile memory of power-line communication (PLC) devices as well as the EV’s parameter information block (PIB). Discovering these values allowed the researchers to access the IPv6 layer on the connection between the EV and EVSE
Kozan, Katherine
The surge in electric vehicle usage has expanded the number of charging stations, intensifying demands on their operation and maintenance. Public charging stations, often exposed to harsh weather and unpredictable human factors, frequently encounter malfunctions requiring prompt attention. Current methods primarily employ data-driven approaches or rely on empirical expertise to establish warning thresholds for fault prediction. While these approaches are generally effective, the artificially fixed thresholds they employ for fault prediction limit adaptability and fall short in sensitivity to special scenarios, timings, locations, and types of faults, as well as in overall intelligence. This paper presents a novel fault prediction model for charging equipment that utilizes adaptive dynamic thresholds to enhance diagnostic accuracy and reliability. By integrating and quantifying Environmental Influence Factors (EF), Scenario Influence Factors (SF), Fault Severity Factors (FF), and
Wang, HaoWang, NingLi, YuanTang, Xinyue
The driving capability and charging performance of electric vehicles (EVs) are continuously improving, with high-performance EVs increasing the voltage platform from below 500V to 800V or even 900V. To accommodate existing low-voltage public charging stations, vehicles with high-voltage platforms typically incorporate boost chargers. However, these boost chargers incur additional costs, weight, and spatial requirements. Most mature solutions add a DC-DC boost converter, which results in lower charging power and higher costs. Some new methods leverage the power switching devices and motor inductance within the electric drive motor to form a boost circuit using a three-phase current in-phase control strategy for charging. This approach requires an external inductor to reduce charging current ripple. Another method avoids the use of an external inductor by employing a two-parallel-one-series topology to minimize current ripple; however, this reduces charging power and increases the risk
Yuan, BaochengMa, YongXie, XiLiu, ShaoweiGuan, TianyuGe, KaiZheng, LifuXu, Xu
The rapid expansion of the electric vehicle (EV) market has intensified the need for robust charging infrastructure. The quality of their experiences at public charging stations has become crucial to sustaining this transition. Key factors such as station accessibility, charging speed, and pricing transparency significantly affect user satisfaction. In Guangzhou, a China's major metropolitan city with an EV penetration rate exceeding 50%, this city offers an ideal context to assess the alignment between expanding EV infrastructure and user needs. This study examines user satisfaction with EV public charging stations in Guangzhou using a dataset of over 2,000 user comments from Amap. The comments are first processed using the Jieba segmentation library, with sentiment analysis conducted through the Natural Language Processing tool SnowNLP, categorizing comments by sentiment (419 positive, 156 neutral, and 1,690 negative). Term Frequency-Inverse Document Frequency(TF-IDF) is then applied
Guo, HaifengOu, Shiqi (Shawn)Jing, HaoQi, HaoShi, Lanxin
Impact resistance is crucial for assessing charging pile safety and reliability. This study proposes a prediction model, called GA-BP neural network, which achieved prediction errors below 5% and reduced computation time by over 95% in comparison to finite element analysis (FEA). Initially, the charging pile impact test platform is constructed, and a matching finite element simulation model is developed. The correctness of the simulation model is then verified by integrating the experimental findings. Furthermore, the Latin hypercube approach is used to create 200 sets of simulation schemes, and using the Python programming language, the impact resistance performance indicators of charging piles are automatically collected. Next, a genetic algorithm is used to optimize the initial weight and bias of the BP neural network, lastly, fine-tune the hyperparameters in the neural network to develop a prediction model for the impact resistance performance of the charging pile. The GA-BP model
Jiang, BingyunHu, PengLiu, ZhenyuYuan, PengfeiLiu, Hui
This article takes the cover of the AC charging pile as the research object and studies the process parameters of dual-color injection molding. First, the optimal Latin hypercube experimental design is carried out by using optimization software by taking the melt temperature and mold temperature of the first shot and the second shot and the holding pressure as the influencing factors. Injection simulation is carried out based on mold flow software. A high-precision neural network model RBF is constructed according to the test factors and results. Second, based on the obtained RBF prediction model, the multi-objective NSGA-II algorithm is used for optimization. The obtained optimal combination of molding process parameters is: the melt temperature of the first shot is 266.8°C, the mold temperature is 107°C, the melt temperature of the second shot is 230.3°C, the mold temperature is 59.5°C, the holding pressure of the first shot is 95 MPa, the holding pressure of the second shot is 89.9
Liu, HaoJiang, BingyunJiang, HongHu, PengCheng, Shan
For the heat dissipation design of charging equipment for electric vehicles, a study is conducted on the thermal performance and its influencing factors of a specific alternating current (AC) charging device. First, based on heat dissipation theory and CFD simulation software, the corresponding finite element model is established and verified through experiments. Next, using the verified finite element model and applying the orthogonal experimental method, the factors influencing the heat dissipation performance of the AC charging pile, such as ambient temperature, output current of the AC charging pile, and surface radiation characteristics, are investigated. Finally, a prediction model for the maximum temperature of the main board is established using the response surface method (RSM), and the effects of each factor on the maximum main board temperature are analyzed, enabling rapid prediction of the heat dissipation performance of the AC charging pile. The analysis of the orthogonal
Tang, YuYan, ChongjingLu, FeifeiJiang, BingyunBao, YidongHu, Peng
Exhaust emissions from congested road segments constitute a significant source of urban air pollution. Resolving traffic congestion throughout the road network presents considerable challenges. However, alleviating tailpipe emissions on congested roads can be achieved by increasing the proportion of electric vehicles (EVs) in the traffic flow. Therefore, we propose a method for optimizing the layout of EV charging stations based on urban road networks congestion tracing. This method traces congestion sources through similarity between road networks, and evaluates the installation potential value of adjacent candidate installation points using the congestion contribution degree of the road segment as an indicator. The analysis is conducted on 100 routes within the Qinhuai district of Nanjing city, using spatiotemporal similarity metrics. The utilization of point-of-interest and traffic data from online mapping sources overcomes the complexity of road network structure and the sparsity
Zeng, WenyiJian, LuHu, Xiaojian
This SAE Technical Information Report (TIR) is based on the initial assumption that a system level standard covering all aspects of EV charging components and use cases would grow to be too large for one comprehensive document. Hence, the SAE J3271 work group was launched with five subtopics that could be subsections of one standard or a separate document for each topic. In this document, all five subtopics are compiled into one document. The recommended practice level documents will follow this structure, with added detail and streamlined content. The five subtopics that are now subsection numbers in this document include: SAE J3271/1 (see 5.1) Electromechanical Coupler Specifications SAE J3271/2 (see 5.2) Communication and Controls SAE J3271/3 (see 5.3) Cables/Cable Handling, Cooling, and Automated Connection Systems SAE J3271/4 (see 5.4) Use Cases Including Grid Interconnection, Black Start, and Bidirectional Power Transfer SAE J3271/5 (see 5.5) Interoperability Testing Requirements
Hybrid - EV Committee
This SAE Recommended Practice summarizes the conformance requirements for digital communication between the PEV and EVSE and establishes the interoperability requirements for successful charging sessions. This first version includes charging conformance summary for both the vehicle and EVSE and updates from CharIN with modifications, additions, and deletions to improve successful charging sessions. The summary of all existing charging/discharging standards, conformance, and functional categories will be updated in subsequent updates, and message/signal/values that would cause an interoperability issue will be clarified as this leads to diagnostic codes the vehicle/EVSE/Charge Point Operator and others can view to let the customer know what specific issue led to a failure to charge or discharge. This additional effort is ongoing and will be expanded in the next version update as this becomes more mature.
Hybrid - EV Committee
Currently, the adoption rate of pure electric buses is continuously increasing across cities nationwide, and their energy consumption costs have become an important component of urban bus operating expenses. The aim of this study is to explore significant factors related to energy savings for a bus route, which can help bus operators improve route energy efficiency and make resource allocation more reasonable. This study selects per capita energy consumption per thousand kilometers (PKEK) as the energy efficiency indicator and constructs a regression model with robust standard errors and a hierarchical clustering model using GPS operation data, total daily energy consumption data, and card swiping data from electric buses on eight routes in the same operational area of Nanjing from April 1 to June 10, 2021. The research results confirm the existence of significant variables affecting energy efficiency, primarily including: average speed, proportion of high-speed intervals, vehicle age
Li, MuyangSun, HuayangLi, HongQian, XiyouWang, WeiningChen, Xuewu
Heavy-duty vehicles, particularly those towing higher weights, require a continuous/secondary braking system. While conventional vehicles employ Retarder or Engine brake systems, electric vehicles utilize recuperation for continuous braking. In a state where HV Battery is at 100% of SOC, recuperated energy from vehicle operation is passed on to HPR and it converts electrical energy into waste heat energy. This study focuses on identification of routes which are critical for High Power Brake Resistors (HPRs), by analyzing the elevation data of existing charging stations, the route’s slope distribution, and the vehicle’s battery SOC. This research ultimately suggests a method to identify HPR critical vehicle operational routes which can be useful for energy efficient route planning algorithms, leading to significant cost savings for customers and contributing to environmental sustainability.
Thakur, ShivamSalunke, OmkarAmbuskar, MandarPandey, Lokesh
Adoption of Electric Vehicles (EVs) reduces air pollution by reducing harmful gas emissions. Such adoption, however, needs a reliable and convenient charging infrastructure, including smart EV charging. Renewable energy sources such as solar photovoltaic cells, battery and wind energy systems can address these infrastructural gaps which work in conjunction with main grid power supply thereby providing low-cost electricity. This paper introduces an energy management algorithm for integrated renewable and grid power sources available at charging stations across India that considers techno-economic and environmental factors. The current work proposes a supervisory controller model that manages the load power demand of the charging station. The controller effectively deploys low cost energy sources based on the status of all available power supplies and reduces the overall charging costs in real time. The energy management algorithm ensures adequate stand-alone energy generation and
Shukla, AnkitKushwah, Yogendra SinghSuman, Saurabh
Transportation contributes 27% of the greenhouse gas emissions in the US. Governments worldwide are developing new programs to hasten the adoption of electric vehicles (EVs) in the transition to zero-emission vehicles. However, the success of EV adoption generally depends on user preferences. This study explores what we can find out about consumer preferences while accounting for unobserved heterogeneity. Consumer choices for EVs, including plug-in EVs (PEVs) and fuel-cell EVs (FCEVs), are analyzed using the California Vehicle Survey (2019) data. Several factors are examined, including the availability of clean source energy (installed solar panels) at home, preferable location for recharging PEVs, past driving experience with EVs, availability of public charging infrastructure, and sociodemographic factors. A mixed multinomial (random parameter) logit model is estimated, exploring the associations between the selected variables and EV consumer preferences while accounting for
Moradloo, NastaranMahdinia, ImanKhattak, Asad
While weaponizing automated vehicles (AVs) seems unlikely, cybersecurity breaches may disrupt automated driving systems’ navigation, operation, and safety—especially with the proliferation of vehicle-to-everything (V2X) technologies. The design, maintenance, and management of digital infrastructure, including cloud computing, V2X, and communications, can make the difference in whether AVs can operate and gain consumer and regulator confidence more broadly. Effective cybersecurity standards, physical and digital security practices, and well-thought-out design can provide a layered approach to avoiding and mitigating cyber breaches for advanced driver assistance systems and AVs alike. Addressing cybersecurity may be key to unlocking benefits in safety, reduced emissions, operations, and navigation that rely on external communication with the vehicle. Automated Vehicles and Infrastructure Enablers: Cybersecurity focuses on considerations regarding cybersecurity and AVs from the
Coyner, KelleyBittner, Jason
The emergence of connected vehicles is driven by increasing customer and regulatory demands. To meet these, more complex software applications, some of which require service-based cloud and edge backends, are developed. Due to the short lifespan of software, it becomes necessary to keep these cloud environments and their applications up to date with security updates and new features. However, as new behavior is introduced to the system, the high complexity and interdependencies between components can lead to unforeseen side effects in other system parts. As such, it becomes more challenging to recognize whether deviations to the intended system behavior are occurring, ultimately resulting in higher monitoring efforts and slower responses to errors. To overcome this problem, a simulation of the cloud environment running in parallel to the system is proposed. This approach enables the live comparison between simulated and real cloud behavior. Therefore, a concept is developed mirroring
Weiß, MatthiasStümpfle, JohannesDettinger, FalkJazdi, NasserWeyrich, Michael
As the market for electric vehicles grows, so does the demand for appropriate charging infrastructure. The availability of sufficient charging points is essential to increase public acceptance of electric vehicles and to avoid the so-called “charging anxiety”. However, the charging stations currently installed may not be able to meet the full charging demand, especially in areas where there is a general lack of grid infrastructure, or where the fluctuating nature of charging demand requires flexible, high-power charging solutions that do not require expensive grid extensions. In such cases, the use of mobile charging stations provides a good opportunity to complement the existing charging network. This paper presents a prototype of a mobile charging solution that is being developed as part of an ongoing research project, and discusses different use cases. The solution presented consists of a semi-autonomous robotic platform equipped with a high voltage battery and multiple charging
Wessel, PatriciaFaßbender, MaxGerz, JonathanAndert, Jakob
The ongoing energy transition will have a profound impact on future mobility, with electrification playing a key role. Battery electric vehicles (EVs) are the dominant technology, relying on the conversion of alternating current (AC) from the grid to direct current (DC) to charge the traction battery. This process involves power electronic components such as rectifiers and DC/DC converters operating at high switching frequencies in the kHz range. Fast switching is essential to minimise losses and improve efficiency, but it might also generate electro-magnetic interferences (EMI). Hence, electromagnetic compatibility (EMC) testing is essential to ensure reliable system operations and to meet international standards. During DC charging, the AC/DC conversion takes place off-board in the charging station, allowing for better cooling and larger components, resulting in increased power transfer, currently up to 350 kW. The EMC requirements for this charging method are outlined in IEC 61851
Supa Stölben, Inti RunaBeltle, MichaelTenbohlen, Stefan
Future electric vehicles will be more efficient, more powerful, and will be able to hold more energy in their batteries than today’s EVs. Those big “mores” require countless small improvements beyond the headline component — batteries. One of the richest target areas is power-electronics technology and components used throughout the EV ecosystem. A new generation of power electronics will be found in tomorrow’s EVs, charging stations, and related infrastructure components.
The operation management of electric Taxi fleets requires cooperative optimization of Charging and Dispatching. The challenge is to make real-time decisions about which is the optimal charging station or passenger for each vehicle in the fleet. With the rapid advancement of Vehicle Internet of Things (VIOT) technologies, the aforementioned challenge can be readily addressed by leveraging big data analytics and machine learning algorithms, thereby contributing to smarter transportation systems. This study focuses on optimizing real-time decision-making for charging and dispatching in large-scale electric taxi fleets to improve their long-term benefits. To achieve this goal, a spatiotemporal decision framework using Bi-level optimization is proposed. Initially, a deep reinforcement learning-based model is built to estimate the value of charging and order dispatching under uncertainty. The model considers the long-term costs and benefits of different tasks and guides whether electric
Lyu, YelinWang, NingTian, Hangqi
Radical greenhouse gases emissions reduction necessity is bringing deep evolution in mobility behaviors and is the core reason for a significant diversification of automotive powertrain technologies, making it more and more complex for customers to find the best suited technology. This paper proposes a customer-oriented approach that translates needs into technical requirements that can be used as choice guidelines. First, customers answer a small survey on their driving habits and the class of car they want. Real life driving cycles are then recorded, and Simulink simulations, based on lowest equivalent consumption calculations, allow to identify and size an ideal powertrain that can then become a benchmark for vehicle final selection. As a methodology development step, this paper focused on Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV) and Fuel Cell Electric Vehicle (FCEV), and on two case studies: a customer driving in urban areas with a small city car, and another
Couillandeau, MatthieuEl Ganaoui-Mourlan, OuafaeMiliani, El HadjCarlos Da Silva, DanielOussedik, NassilaLombard, TristanMendes Alves, Breno
Electric vehicles are gaining popularity as an alternative to conventional gasoline-powered vehicles since they provide a cleaner and more environmentally friendly form of mobility. The market of electric vehicles is expanding, and the availability of dependable and effective sustainable charging infrastructure is needed to satisfy this expansion. This has prompted researchers to look for innovative alternative charging systems that can offer effective charging while reducing emissions such as fuel cells. In this study, the viability and sustainability of employing fuel cells as electric vehicle charging stations in Egypt, as an example of the MENA region, were studied from the technical and economic point of views. The technical analysis used a simulation for the whole fuel cell system, which was provided by MathWorks MATLAB Simulink software. The economic analysis for the system included the capital and the operational costs for two hydrogen sources, grey hydrogen, and green hydrogen
Abdulrazeq, MostafaAbdel-Rehim, Ahmed A.
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